Zhenya Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
110
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
110 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. | Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang |
| 2026 | AAAI | Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning. | Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang |
| 2026 | ACL | TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting. | Jiaming Leng, Yunying Bi, Chuan Qin, Zhenya Huang, Bing Yin, Haojie Ren, Yanyong Zhang, Chao Wang |
| 2026 | ACL | LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring. | Ning Li, Zheng Zhang, Zhenya Huang, Rui Li, Yi Zhan, Yinbo Luo, Qi Liu, Enhong Chen |
| 2026 | ACL | One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment. | Huixing Que, Qi Liu, Weibo Gao, Zhenya Huang |
| 2026 | ACL | SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering? | Yuxuan Sun, Yuze Zhao, Yufeng Wang, Yao Du, Zhiyuan Ma, Jinbo Wang, Mengdi Zhang, Kai Zhang, Zhenya Huang |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | WWW | Swen: A Cross-Platform Desktop Assistant for Instant and Personalized Large-Language-Model Interaction. | Wenjun Feng, Rui Li, Zheng Zhang, Zhenya Huang, Qi Liu |
| 2026 | SIGIR | Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA. | Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang |
| 2025 | AAAI | Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang |
| 2025 | AAAI | Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. | Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su |
| 2025 | AAAI | Explore What LLM Does Not Know in Complex Question Answering. | Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen |
| 2025 | AAAI | Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. | Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li |
| 2025 | AAAI | Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. | Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen |
| 2025 | ACL | From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation. | Cheng Cheng, Zhenya Huang, Guanhao Zhao, Yuxiang Guo, Xin Lin, Jinze Wu, Xin Li, Shijin Wang |
| 2025 | ACL | Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models. | Liyang He, Chenglong Liu, Rui Li, Zhenya Huang, Shulan Ruan, Jun Zhou, Enhong Chen |
| 2025 | ACL | IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. | Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu |
| 2025 | ACL | CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval. | Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | ICLR | Can LLMs Solve Longer Math Word Problems Better? | Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang |
| 2025 | ICLR | Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. | Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen |
| 2025 | ICML | CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. | Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen |
| 2025 | ICML | What Makes In-context Learning Effective for Mathematical Reasoning. | Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen |
| 2025 | ICML | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2025 | IJCAI | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | KDD | Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning. | Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che |
| 2025 | KDD | MGS3: A Multi-Granularity Self-Supervised Code Search Framework. | Rui Li, Junfeng Kang, Qi Liu, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang |
| 2025 | KDD | Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization. | Jianwen Sun, Qirong Chen, Zhenya Huang, Zhihai Hu, Ruxia Liang, Xiaoxuan Shen |
| 2025 | KDD | Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. | Bihan Xu, Shiwei Zhao, Runze Wu, Zhenya Huang, Jiawei Wang, Zhipeng Hu, Kai Wang, Haoyu Liu, Tangjie Lv, Le Li, Changjie Fan, Xin T. Tong, Jiangze Han |
| 2025 | WWW | BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv |
| 2025 | WSDM | Enhancing Code Search Intent with Programming Context Exploration. | Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu |
| 2024 | AAAI | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. | Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang |
| 2024 | ACL | RePair: Automated Program Repair with Process-based Feedback. | Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su |
| 2024 | CIKM | Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. | Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen |
| 2024 | CIKM | Enhancing the Completeness of Rationales for Multi-Step Question Answering. | Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. | Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su |
| 2024 | DASFAA | Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. | Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng |
| 2024 | EMNLP | Towards Explainable Computerized Adaptive Testing with Large Language Model. | Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen |
| 2024 | EMNLP | Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. | Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang |
| 2024 | ICML | A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. | Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen |
| 2024 | IJCAI | Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. | Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen |
| 2024 | KDD | Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. | Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang |
| 2024 | WWW | Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. | Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen |
| 2024 | WWW | Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. | Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang |
| 2024 | WWW | Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. | Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su |
| 2024 | WWW | A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. | Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen |
| 2024 | WWW | Unified Uncertainty Estimation for Cognitive Diagnosis Models. | Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang |
| 2024 | WWW | Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. | Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao |
| 2024 | SDM | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2023 | AAAI | Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. | Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu |
| 2023 | AAAI | Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. | Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang |
| 2023 | ACL | Enhancing Hierarchical Text Classification through Knowledge Graph Integration. | Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen |
| 2023 | ACL | RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. | Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan |
| 2023 | CIKM | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | DASFAA | Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. | Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen |
| 2023 | EMNLP | Interventional Rationalization. | Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang |
| 2023 | IJCAI | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. | Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2023 | KDD | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu |
| 2023 | KDD | Learning Behavior-oriented Knowledge Tracing. | Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang |
| 2023 | WWW | MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. | Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen |
| 2023 | WWW | Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. | Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li |
| 2023 | SIGIR | Learning from Crowds with Annotation Reliability. | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang |
| 2023 | SIGIR | Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang |
| 2023 | SIGIR | A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. | Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen |
| 2022 | AAAI | Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma |
| 2022 | ICDM | A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. | Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen |
| 2022 | ICTAI | Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. | Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. | Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | Incremental Cognitive Diagnosis for Intelligent Education. | Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang |
| 2022 | SIGIR | Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. | Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen |
| 2022 | SIGIR | Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. | Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen |
| 2022 | SIGIR | A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang |
| 2022 | WSDM | AdaptKT: A Domain Adaptable Method for Knowledge Tracing. | Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su |
| 2021 | AAAI | NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. | Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao |
| 2021 | AAAI | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | ICDM | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. | Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | ICDM | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | IJCAI | Guided Attention Network for Concept Extraction. | Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu |
| 2021 | IJCAI | Item Response Ranking for Cognitive Diagnosis. | Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang |
| 2021 | IJCAI | Preference-Adaptive Meta-Learning for Cold-Start Recommendation. | Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen |
| 2021 | IJCAI | GraphMI: Extracting Private Graph Data from Graph Neural Networks. | Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen |
| 2021 | KDD | DisenQNet: Disentangled Representation Learning for Educational Questions. | Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong |
| 2021 | KDD | Learning Process-consistent Knowledge Tracing. | Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
| 2021 | KDD | Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. | Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma |
| 2021 | WWW | Hierarchical Personalized Federated Learning for User Modeling. | Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou |
| 2021 | SIGIR | RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. | Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su |
| 2021 | WSDM | Federated Deep Knowledge Tracing. | Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang |
| 2020 | AAAI | A Variational Point Process Model for Social Event Sequences. | Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen |
| 2020 | AAAI | Neural Cognitive Diagnosis for Intelligent Education Systems. | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang |
| 2020 | APWEB | Predicting Human Mobility with Self-attention and Feature Interaction. | Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen |
| 2020 | ICDM | Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. | Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang |
| 2020 | ICDM | Technical Phrase Extraction for Patent Mining: A Multi-level Approach. | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui |
| 2020 | ICDM | Structure-based Knowledge Tracing: An Influence Propagation View. | Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang |
| 2020 | KDD | ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. | Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee |
| 2020 | SIGIR | Neural Mathematical Solver with Enhanced Formula Structure. | Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen |
| 2020 | SIGIR | Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. | Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang |
| 2019 | AAAI | Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. | Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He |
| 2019 | CIKM | DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. | Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu |
| 2019 | CIKM | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. | Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |
| 2019 | KDD | QuesNet: A Unified Representation for Heterogeneous Test Questions. | Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su |
| 2018 | AAAI | Exercise-Enhanced Sequential Modeling for Student Performance Prediction. | Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu |
| 2018 | AAAI | Confidence-Aware Matrix Factorization for Recommender Systems. | Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang |
| 2018 | DASFAA | MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. | Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu |
| 2018 | KDD | Finding Similar Exercises in Online Education Systems. | Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu |
| 2018 | KDD | Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. | Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen |
| 2018 | KDD | Transcribing Content from Structural Images with Spotlight Mechanism. | Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu |
| 2017 | AAAI | Question Difficulty Prediction for READING Problems in Standard Tests. | Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| 2017 | CIKM | Tracking Knowledge Proficiency of Students with Educational Priors. | Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu |
| 2016 | AAAI | Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. | Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang |